Live on synthetic data β€” nothing real is exposed

Explore ATLAS HR, end to end

The full platform runs on seeded data: 234 employees, 198 candidates, 56 policy clauses. Once signed in, switch perspectives with the β€œActing as” selector in the app header to see how governance and visibility change by role.

πŸ‘‘ HR Administrator

Full visibility: pay-equity regression, adverse-impact audits, the governance console and audit trail.

🧭 People Partner

Day-to-day people work β€” retention briefs, requisitions, performance calibration β€” without the account-wide controls.

πŸ§‘β€πŸ’Ό Hiring Manager

A team-scoped view: their people, their requisitions, policy answers with citations.

πŸ‘€ Employee

Self-service: policy assistant and the GDPR Article 22 route to contest an automated decision.

Four things worth trying

Ask the policy assistant

β€œHow much parental leave do I get?” β€” answered with clause citations. Then ask something off-topic and watch it refuse rather than invent.

Run the pay-equity module

+0.1% unadjusted vs βˆ’5.21% adjusted (p<0.0001). Both numbers, side by side.

Try an unjustified rejection

Reject a candidate with no written reason β€” the API returns a 422 citing the policy clause and GDPR Article 22.

Verify the audit chain

Every inference is hash-chained; the console will flag tampering after the fact.

Create a free account β†’ Sign in
All data is synthetic and shared by every account. The role switcher is a demo perspective, not an access control; per-customer data separation is not built yet.
ATLAS HR Β· live demo on synthetic data